| SGF |
2018 |
Effective Management of Non-performing Loans Using SAS Credit Assessment Manager |
Sumanta Boruah |
source |
11 |
| SGF |
2016 |
Best Practices for Effective Model Risk Management |
Sukhbir Dhillon |
source |
15 |
| SESUG |
2013 |
What Do Your Consumer Habits Say About Your Health? Using Third-Party Data to Predict Individual Health Risk and Costs |
|
source |
15 |
| SGF |
2013 |
Extension Node to the Rescue of the Curse of Dimensionality via Weight of Evidence (WOE) Recoding |
Andrew Cathie, Goutam Chakraborty |
source |
9 |
| SGF |
2013 |
What Do Your Consumer Habits Say About Your Health? Using Third-Party Data to Predict Individual Health Risk and Costs |
Albert Hopping, Rick Monaco, Sarah Rittman |
source |
15 |
| SGF |
2012 |
Analysis of Clickstream Data Using SAS |
Sumit Sukhwani, Goutam Chakraborty |
source |
13 |
| SGF |
2012 |
Analyzing Sentiments in Tweets about Wal-Marts Gender Discrimination Lawsuit Verdict Using SAS Text Miner |
Hari Hara Sudhan Duraidhayalu, Goutam Chakraborty |
source |
8 |
| SGF |
2012 |
Application of Time Series Clustering Using SAS Enterprise Miner for a Retail Chain |
Karthik Nakkeeran, Goutam Chakraborty |
source |
9 |
| SGF |
2012 |
Comparison of K-Means, Normal Mixtures and Probabilistic-D Clustering for B2B Segmentation Using Customers Perceptions |
Gary Gaeth, Goutam Chakraborty |
source |
8 |
| SGF |
2012 |
SAS Since 1976: An Application of Text Mining to Reveal Trends |
Zubair Shaik, Goutam Chakraborty |
source |
10 |
| WUSS |
2011 |
%GetTweet: A New SAS Macro to Fetch and Summarize Tweets |
|
source |
12 |
| WUSS |
2011 |
Comparison of K-Means, Normal Mixtures and Probabilistic-D Clustering for B2B Segmentation Using Customers Perceptions |
|
source |
9 |
| SGF |
2011 |
%GetTweet: A New SAS Macro to Fetch and Summarize Tweets |
Goutam Chakraborty |
source |
12 |
| SGF |
2011 |
Comparison of Probabilistic-D and k-Means Clustering in Segment Profiles for B2B Markets |
Dipanjan K. Dey, Goutam Chakraborty |
source |
9 |